I work on an interdisciplinary project titled "Urban Computing using Deep Learning and Big Visual Data" aimed at developing models to detect the physical conditions of neighborhoods using Google Street View Images. My Tasks:• Building, updating, and maintaining a Ruby on Rails web application used to collect validation data• Assisting in sampling and collecting image data (scraping) for model training, requiring knowledge of rest APIs and Python • Training machine learning models using preexisting libraries and evaluating results• Designing, constructing, and analyzing surveys for data collection• Documenting and overseeing project tasks

Computer Science Department at Stanford: Project: "HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models". Duties:• Integrating an already existing technology into a Django + Angular web application• Creating automated processes for payment of crowdsourced MTurk workers• Conducting and overseeing software testing

The goal of this internship was to gain science research experience and apply the newly obtained knowledge in an education-focused project. • Worked on maize gene mapping project, producing significant finding and presented work at a poster session